A Biologically-Inspired Autonomic Architecture for Self-Healing Data Centers

  • Authors:
  • Paskorn Champrasert;Junichi Suzuki

  • Affiliations:
  • University of Massachusetts, Boston, USA;University of Massachusetts, Boston, USA

  • Venue:
  • COMPSAC '06 Proceedings of the 30th Annual International Computer Software and Applications Conference - Volume 01
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes a biologically-inspired architecture, called SymbioticSphere, which allows data centers to autonomously adapt to dynamic environmental changes and survive partial system failures. Symbiotic- Sphere follows certain biological principles such as decentralization, natural selection, emergence and symbiosis to design data centers (application services and middleware platforms). Each service and platform is modeled as a biological entity, analogous to an individual bee in a bee colony, and implements biological concepts such as energy level, health level, energy exchange, environment sensing, migration, replication and death. Simulation results show that, like in biological systems, desirable system properties in data centers (e.g., adaptability and survivability) emerge from collective actions and interactions of services and platforms.